{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello\n"
     ]
    }
   ],
   "source": [
    "print('hello')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F:\\code\\python\\deeplearning\\pythonProject/ai/\n"
     ]
    }
   ],
   "source": [
    "from ai import AiConstant\n",
    "print(AiConstant.BASE_PATH)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import joblib\n",
    "import librosa\n",
    "import torch\n",
    "import wave\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import random\n",
    "from random import shuffle"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "路径F:\\code\\python\\deeplearning\\pythonProject\\ai\\output\\masr已存在,不用创建\n",
      "路径F:\\code\\python\\deeplearning\\pythonProject\\ai\\output\\masr\\model已存在,不用创建\n",
      "路径F:\\code\\python\\deeplearning\\pythonProject\\ai\\output\\masr\\vocab已存在,不用创建\n",
      "路径F:\\code\\python\\deeplearning\\pythonProject\\ai\\output\\log\\log已存在,不用创建\n",
      "路径F:\\code\\python\\deeplearning\\pythonProject\\ai\\output\\masr\\record已存在,不用创建\n",
      "路径F:\\code\\python\\deeplearning\\pythonProject\\ai\\output\\log已存在,不用创建\n"
     ]
    },
    {
     "data": {
      "text/plain": "'F:\\\\code\\\\python\\\\deeplearning\\\\pythonProject/ai/data/asr_pytorch/data_thchs30/data/'"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import config\n",
    "config.DATA_DIR"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
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